FlexER: Flexible Entity Resolution for Multiple Intents

08/23/2022
by   Bar Genossar, et al.
0

Entity resolution, a longstanding problem of data cleaning and integration, aims at identifying data records that represent the same real-world entity. Existing approaches treat entity resolution as a universal task, assuming the existence of a single interpretation of a real-world entity and focusing only on finding matched records, separating corresponding from non-corresponding ones, with respect to this single interpretation. However, in real-world scenarios, where entity resolution is part of a more general data project, downstream applications may have varying interpretations of real-world entities relating, for example, to various user needs. In what follows, we introduce the problem of multiple intents entity resolution (MIER), an extension to the universal (single intent) entity resolution task. As a solution, we propose FlexER, utilizing contemporary solutions to universal entity resolution tasks to solve multiple intents entity resolution. FlexER addresses the problem as a multi-label classification problem. It combines intent-based representations of tuple pairs using a multiplex graph representation that serves as an input to a graph neural network (GNN). FlexER learns intent representations and improves the outcome to multiple resolution problems. A large-scale empirical evaluation introduces a new benchmark and, using also two well-known benchmarks, shows that FlexER effectively solves the MIER problem and outperforms the state-of-the-art for a universal entity resolution.

READ FULL TEXT
research
08/23/2021

AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation

Entity resolution is the task of identifying records in different datase...
research
12/28/2021

Bipartite Graph Matching Algorithms for Clean-Clean Entity Resolution: An Empirical Evaluation

Entity Resolution (ER) is the task of finding records that refer to the ...
research
03/11/2018

Entity Resolution and Federated Learning get a Federated Resolution

Consider two data providers, each maintaining records of different featu...
research
11/20/2020

Cost-effective Variational Active Entity Resolution

Accurately identifying different representations of the same real-world ...
research
01/27/2021

Alaska: A Flexible Benchmark for Data Integration Tasks

Data integration is a long-standing interest of the data management comm...
research
10/03/2022

Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.org

This paper introduces a novel evaluation methodology for entity resoluti...
research
09/14/2015

A Practioner's Guide to Evaluating Entity Resolution Results

Entity resolution (ER) is the task of identifying records belonging to t...

Please sign up or login with your details

Forgot password? Click here to reset